数据驱动的精准医疗举措对环境的影响

Cambridge prisms, Precision medicine Pub Date : 2022-09-26 eCollection Date: 2023-01-01 DOI:10.1017/pcm.2022.1
Gabrielle Samuel, Anneke M Lucassen
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引用次数: 0

摘要

精准医学提供的机会在医学和健康文献中早已得到承诺。然而,精准医学及其所依赖的方法和方法也会对环境产生不利影响。随着精准医学研究的不断扩大,迫切需要考虑这些环境影响,并制定减轻这些影响的方法。在这篇文章中,我们回顾了精准医疗对环境的不利影响,特别关注那些与数据密集型方法的潜在需求相关的影响。我们说明了考虑精准医疗对环境影响的重要性,并描述了与气候变化相关的不良健康后果。接下来,我们将描述健康和数据驱动技术部门如何应对这些环境影响。然后,我们具体描述了与数据驱动的精准医学相关的环境影响(很少)文献。最后,我们强调了精准医学研究人员以及更广泛的领域应该考虑的各种环境因素。他们的工作对健康的影响。相对简单的干预措施,如考虑数据存储、处理和分析的地点、方式和时间,可以对这些活动的环境足迹产生重大影响。我们希望我们的文章会引起包括政策制定者在内的广泛精准医学专家的兴趣。
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The environmental impact of data-driven precision medicine initiatives.

Opportunities offered by precision medicine have long been promised in the medical and health literature. However, precision medicine - and the methodologies and approaches it relies on - also has adverse environmental impacts. As research into precision medicine continues to expand, there is a compelling need to consider these environmental impacts and develop means to mitigate them. In this article, we review the adverse environmental impacts associated with precision medicine, with a particular focus on those associated with its underlying need for data-intensive approaches. We illustrate the importance of considering the environmental impacts of precision medicine and describe the adverse health outcomes that are associated with climate change. We follow this with a description of how these environmental impacts are being addressed in both the health and data-driven technology sector. We then describe the (scant) literature on environmental impacts associated with data-driven precision medicine specifically. We finish by highlighting various environmental considerations that precision medicine researchers, and the field more broadly, should take into account.

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